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| AURASOPON, APINAN. |
| The development of a wireless embedded system for classifying and monitoring the animal behaviors has become increasingly appealing in animal production and health monitoring purposes. In recent years, there has been emphasized on using wireless accelerometer system to identify the cow behaviors because this can offer significant data for efficient classification. However, while implementing such system in outdoor environments, the high power consumption of wireless transceiver is one of the main drawbacks and shown to be a big challenge to maintain especially when transmitting data through XBbee RF modules. To fulfill the requirements of power reduction, this paper proposes a technique based on the time-triggered architecture for controlling the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Wireless embedded system; XBee module; Accelerometer; Cow behaviors.. |
| Ano: 2018 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4735 |
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| AURASOPON, APINAN. |
| Time periods of walking-grazing, standing and lyingof cattle’s life can be used to predict their health. However, famer cannot observe those in all the time. Therefore, this paper proposes a simple technique to classify the cattle behaviors by using the magnitude and the variance of accelerometer output signal. There are two steps of algorithm detection, the first step employed the magnitude of each axis for classifying the cattle behaviors into two groups: 1) walking-grazing and standing and 2) lying. After that, the second step used the variance of Y-axis to notify between walking-grazing and standing behaviors. The classification results were inform time periods of each behavior and tested with two cattle. The measured precise times of each behavior... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cattle behaviors; Accelerometer; Variance; Decision tree and activity monitoring. |
| Ano: 2015 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3422 |
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